Triple

T22512322
Position Surface form Disambiguated ID Type / Status
Subject Newlands E556550 entity
Predicate hasLandmark P105 FINISHED
Object Newlands Forest NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Newlands Forest | Statement: [Newlands, hasLandmark, Newlands Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Newlands Forest
Context triple: [Newlands, hasLandmark, Newlands Forest]
  • A. Newlands Forest chosen
    Newlands Forest is a popular woodland recreation area on the eastern side of Cape Town, known for its hiking trails, picnic spots, and indigenous forest.
  • B. Dunn Forest
    Dunn Forest is a component of Oregon State University's McDonald-Dunn Research Forest, used primarily for forestry research, education, and sustainable land management.
  • C. Barnsdale Forest
    Barnsdale Forest is a historic woodland area in South Yorkshire, England, traditionally associated with the legendary outlaw Robin Hood.
  • D. Tilgate Forest
    Tilgate Forest is a large woodland area in West Sussex, England, known for its walking trails, wildlife, and role as a key part of the wider Tilgate recreational landscape.
  • E. Bulwell Forest
    Bulwell Forest is a public park and green space in the Bulwell area of Nottingham, England, known for its recreational facilities and woodland landscape.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d61a27881909faed490d2b65f39 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.